Job Information
- Organisation/Company
- Champalimaud Foundation
- Research Field
- Computer science » OtherEngineering » OtherEthics in health sciences » OtherMedical sciences » OtherNeurosciences » OtherTechnology » Other
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Portugal
- Application Deadline
- Type of Contract
- Other
- Job Status
- Full-time
- Hours Per Week
- 40
- Is the job funded through the EU Research Framework Programme?
- European Union / Next Generation EU
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
A Call for one fellowship for a PhD Student is open at Fundação D. Anna de Sommer Champalimaud e Dr. Carlos Montez Champalimaud (Champalimaud Foundation) in the context of the project entitled “NextGenAI: Center for Responsible AI”, with reference “PRR” - from the call Nº “crAI 64”, funded by the “Agendas Mobilizadoras para a Inovação Empresarial, Plano de Recuperação e Resiliência, Next Generation EU, IAPMEI”. We are a group of neuroscientists and machine learning experts at the Champalimaud Foundation with scientific partners covering a broad range of domain expertises
The selected candidate will:
The identification of hidden mental states, including emotional and cognitive states, through observable expressions or physiological activity, is crucial. However, scientific understanding of these phenomena are limited. These latent states are thought to provide insight into a person's future behavior, such as what they will say next. At the same time, Large Language Models (LLMs) have become one of the most exciting frontiers of technological advancement. They provide unprecedented capabilities as tools for everyday language generation tasks. Nevertheless, many unresolved issues must be addressed quickly. For instance, how can we align these generative models with the correct human contexts and objectives to provide maximum benefits to individuals and society? Can we understand the decision-making processes of these complex models to develop more interpretable and explainable human-centered systems? Can they interact with humans in a more positive and fair way such that they remain accessible to non-experts?
We believe that answering these questions will entail the careful identification and interpretation of latent states through advanced methodologies utilizing multi-modal data. You can contribute to this endeavor with us.
Aims of Thesis Project
- To uncover stable representations within fluctuating neural activity by determining when stimulus representations can be decoded uniformly, despite neural activity changes. Using AI technology to extract invariant manifolds from working memory tasks.
- Explaining the common manifold and dynamics across multiple datasets and modalities using machine learning techniques. The goal is to identify dynamical features that are generalizable and can be re-used for efficient prediction.
- Transfer learning invariant dynamics from a large independent training set to a new subject or experiment. Test few shot learning performance and bias of the system.
Methods
General:Machine Learning (Variational inference, Meta-learning, Transfer-learning), Signal Processing, Interpretability in ML
Specific:probabilistic models of learning and decision-making, control theory and/or adaptive signal processing
Tools
Python, PyTorch, Scientific Python Stack (Numpy, Pandas, Sci-kit Learn), Data Version Control (DVC), Git, Matplotlib or Other Python-based Visualization tools, ChatGPT, Unity, Matlab
Data Modalities
Spike trains, high-dimensional time series
Application start date: February 28, 2024
Application closing date: March 13, 2024
Expected position starting date: Immediately
Required Education Level: Undergraduate degree; the candidate must be enrolled in a PhD Programme in an University that can provide the degree, at the time of the beginning of the fellowship
Requirements
- Research Field
- Mathematics » Other
- Education Level
- Undergraduate
- Research Field
- Computer science » Other
- Education Level
- Undergraduate
- Research Field
- Economics » Other
- Education Level
- Undergraduate
- Research Field
- Physics » Other
- Education Level
- Undergraduate
Minimum qualifications:
- Familiarity with some methods, tools, and data modalities from above with measurable experience in key areas (depending on thesis focus).
- Strong coding skills
- A trained scientific mindset
- Ability to read and present the latest machine learning, human psychology, or human-computer interaction research to a group of experts.
- Experimental and task design (depending on thesis focus).
- Solid experience with data analysis
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities. The monthly remuneration will start at 1600€ per month. The fellowship will be paid monthly by bank transfer.
Maximum allowable duration:
The Fellowship will have a duration of 1 year, with the possibility of renewal never surpassing the termination date of the project, expected at 31/12/2025.
National, Foreign or Stateless candidate(s) who hold an Undergraduate degree in mathematics, physics, neuroscience, computer science, economics, biomedical engineering, or other similar quantitative field with extensive programming experience.
Candidates will be screened to determine eligibility based on minimum qualifications listed in call. Candidates meeting minimum requirements will be scored according to the required application materials: CV 70% weighting, motivation letter 30%. If shortlisted, a data science challenge will be sent and candidates will be interviewed in order to assess basic technical (ML/Stats/CS) knowledge
If provided, and if shortlisted, candidates’ referees may be contacted and may count towards evaluation.
Evaluation Committee members: it will consist of 3 members from the following list: Joe Paton, Daniel McNamee, Eric Lacosse, Memming Park.
Application materials:
CV and letter of motivation indicating 2 references (one single pdf document).
Proof of qualifications (certificates) may be required at a later date for the formalization of the contract agreement. Degrees obtained abroad may need to be formally recognized in Portugal.
How to apply:
Candidates must complete the standard application form and submit a single annexed PDF document containing the application materials stated in the call.
The call reference will be asked and not having may invalidate your submission. This call reference is: crAI 64 Feb2024.
Applications are also accepted in paper, sent or handed to the Fellows Support Office at the Champalimaud Centre for the Unknown, Avenida Brasília, 1400-038 Lisbon, Portugal.
Notification of results
All candidates will receive a receipt of acknowledgment within 7-10 business days.The highest scoring candidate will be notified by email or telephone. All other candidates will be notified solely by email of the final outcome of the recruitment process.
After being notified, candidates will have 10 working days to present a claim for redress by email (careers@research.fchampalimaud.org). If no claim is received by the Champalimaud Foundation, the Evaluation Committee's decision will become definitive.
About Us
Research is at the heart of the Champalimaud Centre for the Unknown, a modern research and clinical facility situated on the waterfront in Lisbon, Portugal. The goal of Champalimaud Research (CR) is to perform world-leading fundamental and translational research. Current research work is focused on the fields of neuroscience, physiology and cancer. Champalimaud Research comprises a team of over 400 scientists from around the world. English is the official language of the Centre. Lisbon’s sunny Atlantic Mediterranean climate, vibrant culture and high quality of life make this a great place to live and work.
Relevant Institutional Information
In line with our community guidelines and Equality, Diversity and Inclusion policy and Gender Equality Plan, no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are irrelevant to decision-making.
Legal Notices
The present call has the sole purpose of filling the indicated research position. This call may be canceled at any time on or before the jury’s evaluation of all eligible candidates and the recruitment process shall be concluded on the day of the full execution of the contract between the Champalimaud Foundation and the selected candidate.
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Champalimaud Foundation
- Country
- Portugal
- Geofield
Where to apply
- Website
Contact
- City
- Lisboa
- Website
- Street
- Champalimaud Centre for the Unknown
- Postal Code
- 1400-038